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AI is becoming an increasingly important tool for clinical tasks, e.g., medical image processing or decision making. In this course you will have the opportunity to learn the fundamentals of different AI methods and apply these methods practically to real clinical image data. We will provide datasets - acquired partially in our laboratory – to train models on detection and classification tasks for surgical image analysis. You will work in an interdisciplinary and international team on this project.
These are the teamchers you'll work with on the challenge.
At the end of the course learner will gained a practical experiences in acquiring, pre-processing and analyzing medical image data.
At the end of the course the learner is able to implement data analysis algotithm using principles of artificial intelligence.
At the end of the course learners solved coding taks successfully in a team and forster their skills in collaborative problem-solving.
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